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Roberto Esposito

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2007
18EERoberto Esposito, Daniele P. Radicioni: Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets. AI*IA 2007: 242-253
17EEDaniele P. Radicioni, Roberto Esposito: Tonal Harmony Analysis: A Supervised Sequential Learning Approach. AI*IA 2007: 638-649
16EERoberto Esposito, Daniele P. Radicioni: CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. ICML 2007: 257-264
15EEArianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta: Incremental Extraction of Association Rules in Applicative Domains. Applied Artificial Intelligence 21(4&5): 297-315 (2007)
2006
14EEDaniele P. Radicioni, Roberto Esposito: A Conditional Model for Tonal Analysis. ISMIS 2006: 652-661
13EERoberto Esposito, Rosa Meo, Marco Botta: Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. 26(1): 95-111 (2006)
2005
12EEArianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta: Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA 2005: 258-269
11EERoberto Esposito, Lorenza Saitta: Experimental comparison between bagging and Monte Carlo ensemble classification. ICML 2005: 209-216
2004
10EERosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo: A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases 2004: 267-294
9EERosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito: Employing Inductive Databases in Concrete Applications. Constraint-Based Mining and Inductive Databases 2004: 295-327
8 Roberto Esposito: Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. ECAI 2004: 1009-1010
7EERosa Meo, Marco Botta, Roberto Esposito: Query Rewriting in Itemset Mining. FQAS 2004: 111-124
6EERoberto Esposito, Lorenza Saitta: A Monte Carlo analysis of ensemble classification. ICML 2004
5EERosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito: Integrating Web Conceptual Modeling and Web Usage Mining. WebKDD 2004: 135-148
2003
4EERoberto Esposito, Lorenza Saitta: Explaining Bagging with Monte Carlo Theory. AI*IA 2003: 189-200
3 Roberto Esposito, Lorenza Saitta: Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI 2003: 499-504
2002
2EERoberto Esposito, Lorenza Saitta: Is a Greedy Covering Strategy an Extreme Boosting? ISMIS 2002: 94-102
2001
1EERoberto Esposito, Lorenza Saitta: Boosting as a Monte Carlo Algorithm. AI*IA 2001: 11-19

Coauthor Index

1Marco Botta [7] [10] [12] [13] [15]
2Danilo Careggio [9]
3Arianna Gallo [10] [12] [15]
4Pier Luca Lanzi [5] [9]
5Maristella Matera [5] [9]
6Rosa Meo [5] [7] [9] [10] [12] [13] [15]
7Daniele P. Radicioni [14] [16] [17] [18]
8Lorenza Saitta [1] [2] [3] [4] [6] [11]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)